POV2015 Computer for Media ArtsBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
POV2015 Computer for Media Arts Spring 2 2 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. NAZLI EDA NOYAN CELAYİR
Course Lecturer(s): Prof. Dr. NAZLI EDA NOYAN CELAYİR
Recommended Optional Program Components: Digital Image Processing
Course Objectives: This course introduces computer technology and certain software that the students will employ in order to implement their creative projects in various media and formats.

Learning Outcomes

The students who have succeeded in this course;
1. Demonstrate familiarity with the digital technology used.
2. Find effective solutions to technical problems.
3. Find effective technical solutions to aesthetic problems.
4. Gain proficiency in use of computer technology and culture.

Course Content

WEEK 1- Introduction, overview of the syllabus, review of the course content and expectations from the students
WEEK 2- General Presentation about the computer technology for art and communication. History of Computers.
Class activity: Present your interaction with computers.
WEEK 3- Computer graphics: Hardware/software
Class activity: Present your interaction with computers.
P1: Scanogram/scanography
WEEK 4- Computer graphics: Compression formats
P1: Scanogram/scanography / Compositing an image- bitmap
WEEK 5- Color system Models
P2: Cinemagraph
WEEK 6- Net art
WEEK 7- Classwork:Vector-based graphics
WEEK 8- Classwork:Vector-based graphics
WEEK 9- Classwork:Vector-based graphics
WEEK 10- Classwork: Moving image
WEEK 11- Classwork: Moving image
WEEK 12- Classwork: Moving image
WEEK 13- Classwork: Moving image
WEEK 14- Course Portfolio Presentations/ Blog

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction,overview of the syllabus, review of the course content and expectations from the students
2) General Presentation about the computer technology for art and communication.History of Computers. Present your interaction with computers.
3) Hardware P1: Scanogram/scanography: Show Me the Money
4) Software, Computer Generated Graphics: Bitmap & Vector P2: Me, Myself, I in My Room
5) Cinemagraph/ Compression formats P3:The Confessions’ Loop
6) Vector-based graphics/ Color System Models P4: Animated portrait: Beauty and the Beast
7) Video P5:Print to Motion
9) Net art and social media P6: Something to click!
10)
11) Moving image P5: Film title
12)
13)
14) Course Portfolio Presentations

Sources

Course Notes / Textbooks:
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 3 % 30
Midterms 1 % 20
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.